Morpho is delighted to unveil the program for the first day of the ICCBMA conference devoted to Morpho.
As we gear up for the second edition of ICCBMA in Paris from September 11 to 13, 2024, Morpho’s mid-term conference will seamlessly merge with ICCBMA. This collaboration aims to create a unified and comprehensive platform for sharing insights, fostering collaboration, and advancing the field of condition-based maintenance in aerospace.
Session Highlights
On a crisp morning, the MORPHO session kicked off at 08:30 with an engaging Opening Ceremony chaired by Nazih Mechbal, setting the stage for a day rich with groundbreaking research and innovations in Structural Health Monitoring (SHM) and Predictive Models. Here’s a glimpse into the key moments of this knowledge-packed day:
09:00 - Structural Health Monitoring for Condition-Based Maintenance
The day began with a captivating presentation by Dr. Fu-Kuo Chang from Stanford University, USA, delving into the nuances of Structural Health Monitoring (SHM) and its critical role in condition-based maintenance. His insights underscored the transformative potential of SHM in enhancing the longevity and safety of structures.
10:00 - Coffee Break
Participants took a well-deserved break to network and discuss the morning’s revelations.
10:30 - SS07: Exploring Explainable AI & Predictive Models
Chaired by Bernardete Ribeiro and Derk Daverschot, this session showcased cutting-edge research in the realm of AI and predictive maintenance. Here are the highlights:
- 10:30 - Fatemeh Hosseinpour, Asteris Apostolidis, and Konstantinos P. Stamoulis presented their work on "Deep Learning-Based Explanations for Remaining Useful Life Prediction of Aircraft Turbofan Engines," offering innovative approaches to enhance predictive accuracy.
- 10:50 - Raul Llasag Rosero, Catarina Silva, and Bernardete Ribeiro discussed "Functional Time Series Regression in Hybrid Federated Learning," a novel methodology to leverage federated learning for predictive maintenance.
- 11:10 - Jorge Ribeiro and colleagues introduced a "Playful Simulation Approach" to visualize uncertainty in maintenance planning, a vital tool for decision-making.
- 11:30 - Panagiotis Komninos and his team explored "Bayesian Modelling of Stochastic Effects" in post-repair life prediction of structures.
- 11:50 - Miguel Fernandes and co-authors presented "Vector Quantized Anomaly Detection" for maintenance applications.
- 12:10 - Solène Thepaut and her collaborators discussed hybrid methods combining Neural Networks and Kalman Filters for aircraft engine health estimation.
10:30 - SS09: Advanced Monitoring of Composite Structures
Simultaneously, another session chaired by Jesus Eiras Fernandez and Eric Monteiro focused on composite structures:
- 10:30 - Morteza Moradi and team presented data-driven health indicators for aeronautical subcomponents using Lamb Waves.
- 10:50 - Jesus N Eiras and colleagues provided insights into the effects of sensor bonding degradation on ultrasonic surveys for reusable launch vehicles.
- 11:10 - Mohammadali Shirinbayan and his team discussed optimizing hydrogen tank composites with in-situ SHM.
- 11:30 - Konstantinos Tserpes and co-authors introduced a laser shock-based approach for disassembly of damaged composite panels.
- 11:50 - Nicolas Cuvillier and team shared recent advances in using laser shock for NDT/SHM of composite materials.
- 12:10 - Federica Galli and colleagues applied machine learning to estimate the remaining useful life of LPRE bearings.
12:30 - Lunch Break
14:00 - Keynote: CBM Perspective for Safran
Dr. Dohy Hong from Safran, France, provided an in-depth perspective on Condition-Based Maintenance (CBM) from an industry standpoint, sharing Safran’s strategies and innovations.
14:45 - Localizing Impact Events on Structures
Dr. D. Goutaudier, Dr. D. Gendre, and G. Osmond from Airbus presented a scalable strategy to localize impact events using low-frequency vibrations, emphasizing the practical applications in aviation.
15:30 - Coffee Break
16:00 - SS01: Industrial Point of View of CBM
Chaired by Marta Ribeiro and Mathieu Ducousso, this session highlighted industrial applications and perspectives:
- 16:00 - Sin-seok Seo discussed maintenance cost and availability analysis using discrete event simulations.
- 16:20 - Ghanem Bahrini and colleagues explored the influence of censoring rates on survival analysis algorithms for aerospace CBM.
- 16:40 - Céline Berthou and her team applied text-mining on maintenance reports for aviation equipment support.
- 17:00 - Daniel Iñesta and co-authors introduced digital twins for airframe maintenance in Airbus Defence and Space.
- 17:20 - Sin-Seok SEO and Guillaume Doquet presented a closed-loop digital twin framework for maintenance optimization.
16:00 - SS05: Embedded Life-Cycle Management for Smart Multimaterials Structures
Chaired by Theodoros Loutas and Nazih Mechbal, this session covered advanced lifecycle management techniques:
- 16:00 - Giannis Stamatelatos and Theodoros Loutas discussed a deep learning pipeline for online life prognostics.
- 16:20 - Ingo Wirth showcased printing sensors on composite panels.
- 16:40 - George Galanopoulos and team presented FBG-based SHM for engine blades.
- 17:00 - Shweta Paunikar and colleagues discussed using novel printed piezoelectric sensors for damage monitoring.
- 17:20 - Andreas Krenz and co-authors covered real-time RTM process monitoring using FBG sensors.
- 17:40 - Eric Monteiro and team introduced a hybrid twin for the Resin Transfer Molding process.
The day was a testament to the synergy between academic research and industrial application, promising a future where SHM and predictive models will revolutionize maintenance and operational efficiency across various sectors. With the integration of Morpho’s mid-term conference into ICCBMA, participants can look forward to an even richer exchange of ideas and innovations, solidifying the event’s status as a premier gathering in the field of aerospace maintenance technology.